I wish that answers in quizzes were explained, why an answer is right or wrong… I looked over the course notes and did additional google searches to try to understand what concept I’m missing. But I’m having a hard time finding notes related to specific questions. I even went back and reviewed all the videos one more time, and am still not learning what I need to pass the quiz.
For example, questions like how to vectorize a for loop, the lecture notes examples are in the form of z = np.dot(w.T,X) + b while the multiple choice answers are in the form of c = a + b.T . Where’s this disconnect coming from?
Another question about “logistic loss”, I referenced both Logistic_Regression.pdf and Logistic_Regression_Cost_Function.pdf, made a couple of wrong understanding of those notes, and still couldn’t figure out how value of y hat and y relates to logistic loss.
Is there a different way to approach learning through this course/ week?